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    Statistics

    • Types of Data - Normal vs Non-Parametric
    • Box and Whiskers Graph/ Box plot
    • Sensitivity and Specificity, PPV, NPV/ Screening/ likelihood ratio
    • Receiver Operator Characteristics ROC Curve
    • Meta-Analyses: Forest Plot
    • Meta-Analyses: Vertical Funnel Plots
    • Horizontal Funnel Plots: Mortality and Revision Rates
    • Survival Curves
    • Reading RCTs/ Error
    • Designing RCTs: Power, Randomization, Bias, and Blinding
    • Outcome measures/ Grades of evidence
    • Interobserver Variability

    Types of Data - Normal vs Non-Parametric

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    What types of data are there?
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    How do you analyze data?
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    How do you determine if data is normally distributed?
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    How are categorical data summarized and analyzed?

    Normal/ Parametric Measurement Data

    image
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    What does this image show?
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    Why is this considered a normal distribution?
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    What is the significance of a bell-shaped curve?
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    What are the measures of central tendency? [Descriptive Stats]
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    What are the measures for dispersion? [Descriptive Stats]
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    What are measures used in inferential statistics?
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    What are standard deviations?
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    What is the purpose of a statistical test?
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    What tests are used for normal (parametric) data?
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    How do you test correlation for normal data?

    Non-Parametric Measurement Data

    image
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    What kind of data distribution is shown in the image? Which side is it skewed to? What do the different colored lines represent?
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    What statistical tests are used for non-parametric data?
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    How do you test correlation for non-parametric data?
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    Can you transform non-parametric data to normal (parametric) data?

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    Box and Whiskers Graph/ Box plot

    image
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    What is this graph?
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    What do the lines represent?
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    What is an outlier?
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    What does the size of the box indicate?
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    Why might the median not be in the middle of the box?

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    Sensitivity and Specificity, PPV, NPV/ Screening/ likelihood ratio

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    What are sensitivity, specificity, PPV, and NPV?
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    Definitions of PPV, NPV, Sensitivity, and Specificity
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    Which is more relevant to the patient: Sensitivity or PPV?
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    How can you increase sensitivity or specificity?
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    What kind of test will you choose to "diagnose as many cases as possible"?
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    What kind of test will you choose to "confirm a diagnosis"?
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    What is the likelihood ratio?
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    What is accuracy?
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    What makes a successful screening test? (e.g., for DDH, Scoliosis)
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    Example: Is ultrasound screening for DDH a good screening test?
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    What biases are screening tests susceptible to?

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    Receiver Operator Characteristics ROC Curve

    image
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    What is this curve?
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    How is the ROC plotted?
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    What are the X and Y axes?
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    What is the area under the curve?
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    Based on this curve, which test is good for screening and which for confirmation?
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    How can you improve the test?

    Meta-Analyses: Forest Plot

    image
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    What is this?
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    What is MH?
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    What influences the weight?
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    What is a confidence interval?
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    What is homogeneity/heterogeneity? How is it tested?
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    How to address heterogeneity?
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    What's the difference between a systematic review and a meta-analysis?

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    Meta-Analyses: Vertical Funnel Plots

    image
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    What is this?
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    What is standard error?
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    What does asymmetry show?
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    What are funnel plots used for?

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    Horizontal Funnel Plots: Mortality and Revision Rates

    image
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    What is this? [Mortality Rate]
    image
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    What is this? [Revision Rate]
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    How are the curves risk-adjusted?
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    What are the terms for outliers and those within the normal range?
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    What are the criticisms of such analysis?

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    Survival Curves

    image
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    What is this?
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    What are some assumptions in this curve? (3)
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    How do you determine if there is a significant difference between the groups?
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    What is the downside of this analysis?
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    What statistical test do you use to compare these curves?
    image
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    Can you derive mean revision time or rate from this curve?
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    Other Reference Slides

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    Reading RCTs/ Error

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    What is a confidence interval?
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    How does CI differ from P-values? What is a P-value?
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    Do you prefer to know the CI or the P-value?
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    What is the null hypothesis?
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    What is a type 1 (alpha) error? How can it be reduced?
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    What is a type 2 (beta) error? How can it be reduced?
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    What is a type 3 (gamma) error?
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    What are risk ratio (relative risk) and absolute risk reduction?
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    What is the Number Needed to Treat (NNT)?
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    What is an Odds Ratio?
    image
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    What can you interpret from the PROSPECTIVE study result?
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    If it is RETROSPECTIVE, what can you interpret from here?

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    Designing RCTs: Power, Randomization, Bias, and Blinding

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    How do you design a Randomized Controlled Trial?
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    How do you conduct a literature review before designing an RCT?
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    What are the levels of evidence?
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    What characterizes a good Randomized Controlled Trial?
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    What are the advantages of randomization?
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    How do you implement randomization?
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    Types of blinding
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    How to calculate sample size and power
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    What is bias?
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    Types of Bias and How to Address Them
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    How to eliminate bias?
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    What is a confounder?
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    How to address confounders?
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    What are key considerations for inclusion and exclusion criteria?
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    What are the approaches to analysis of RCTs?
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    Which type of analysis is considered the gold standard for RCTs? Why?

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    Outcome measures/ Grades of evidence

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    What are the types of outcome measures?
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    What is a validated outcome measure?
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    How do you evaluate outcome measures?
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    Examples of Outcome Scores
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    What are grades A, B, C recommendations?

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    Interobserver Variability

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    How to measure interobserver consistency or variability? What tests are used?

    [Back to Top]

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